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Last edited by Catherine Loader
March 13, 2025 | History
"This book provides an overview of the theory, methods, and application of local regression and likelihood. The first five chapters introduce the problems, first in the local regression setting, followed by extensions to likelihood-based regression models and density estimation. The remaining chapters cover a range of advanced topics and applications, including robust smoothing, survival analysis, classification, and model selection issues."--BOOK JACKET.
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Previews available in: English
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Source title: Local Regression and Likelihood (Statistics and Computing)
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- Created May 30, 2020
- 4 revisions
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March 13, 2025 | Edited by Catherine Loader | doi,wikidata |
October 10, 2020 | Edited by ImportBot | import existing book |
August 4, 2020 | Edited by ImportBot | import existing book |
May 30, 2020 | Created by ImportBot | Imported from amazon.com record |